Publication: Classification of misfire technique using wide band oxygen sensor
Date
2024-09-01
Authors
Md Sharib, Mohd Khairul Nizam
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Abstract
Problems with the engine often occur instability of the flame in the fuel mixture and cause it to fail to provide accurate ignition readings. In this study, a novel approach to classify the misfire techniques using wide band oxygen sensors is presented. Each signal that is given because of the failure of the fuel mixture flame should be investigated further. This research study has focused on a small single-cylinder engine with four strokes to detect the existence of abnormal conditions in engine combustion. The approach in this study began with the use of basic simulation methods through learning based on models in MATLAB through SIMULINK application version R2022b and experimental tests in the laboratory. The tested engine completed modified with the setting of input data through the Engine Control Unit (ECU) interface with Redleo Pro 9.1X software. Data was acquired with a wide band oxygen sensor and the signal was transmitted digitally by a tablet oscilloscope. The signal emitted through the oscilloscope has been analyzed and extracted by the pre processing on smooth method. The efficiency and sensitivity effects of sensory use of this wide band oxygen sensor have been observed with varying engine speed variations. The findings show abnormal combustion occurs at high-speed conditions of 4000-5000 RPM and a low Volumetric Efficiency (VE) of 2.06 % and 16.2 ignition
degrees. The combination of simulation and experimental methods gives a good result by showing that lean combustion affects the signal appearance in detecting abnormal noise in the engine.